A Novel Approach for Single Image Super Resolution by Sparse Signal Representation

Anirudh Ranga  and G  Suryanarayana

doi:10.17485/ijst/2015/v8iS2/58737

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A Novel Approach for Single Image Super Resolution by Sparse Signal Representation

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8iS2/58737

Year: 2015, Volume: 8, Issue: Supplementary 2, Pages: 1-4

Original Article

A Novel Approach for Single Image Super Resolution by Sparse Signal Representation

Anirudh Ranga^* and G. Suryanarayana

School of Electronics Engineering (SENSE), VIT University, Tamil Nadu, India; [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper presents a new approach to obtain a high resolution image from a single image low resolution by a technique of sparse representation. Sparse representation is a way of representing a signal sparsely i.e. with fewer non zero elements. In this method we find the sparse representation of the input low resolution image patches and then use the coefficient of this representation to generate the high resolution image output.
Keywords: Sparse Coding, Sparse Representation, Super Resolution (Sr)